Stock structure analysis ofLabeo rohita(Hamilton, 1822) across the Ganga basin (India) using a truss network system

Abstract

Summary In this study the intraspecific variation of wild Labeo rohita was investigated on the basis of morphometric characters using the truss network system constructed from the fish body. Altogether 435 fish samples were collected from six drainages of the Ganga basin in India. Data were subjected to principal component analysis, discriminant function analysis and univariate analysis of variance. The first principal component (PC1) explained 47.88% of the total variation, while PC2 and PC3 explained 17.22 and 8.33%, respectively. The step‐wise discriminant function analysis retained three variables that significantly discriminated the populations. Using these variables, 62.3% of the original groups were classified into their correct samples and 53.1% of the cross‐validated groups omitting one procedure were classified into their correct samples. Misclassification was higher for samples from the River Gomti (28.6%). Of the total of 31 transformed truss measurements, 30 exhibited significant differences among populations. These findings indicate the presence of six different stocks of L. rohita in the Ganga basin.

Pattern of morphometric differentiation among three populations of snowtrout, <I>Schizothorax plagiostomus</I> (Actinopterygii: Cypriniformes: Cyprinidae), from Kashmir Himalaya using a truss network system

“…The results derived from the allometric method were confirmed by testing the significance of the correlation between the transformed variables and standard length (Mir et al 2013b). Univariate analysis of variance (ANOVA) was performed for 30 morphometric characters to evaluate the significant difference among the three locations.…”

“…Thus, the different current pattern of these water bodies may be playing an important role in modifying the morphometry of S. plagiostomus among these water bodies. A study by Mir et al (2013b) demonstrated morphological variation in the caudal area in a cyprinid, Indian major carp, Labeo rohita (Hamilton, 1822), from six drainages of Ganges basin differing in current velocity. Khan et al (2013) have also found variation in the caudal area of a Channidae fish, Channa punctata (Bloch, 1793), from the Ganges basin in India.…”

“…There are many well documented studies that provide evidence for stock discrimination based on traditional morphometric characters (Quilang et al 2007, Więcaszek et al 2007, Bektas and Belduz 2009). However, a new system of morphometric measurements called the truss network system, constructed with the help of landmark points, has been increasingly used for stock identification (Mir et al 2013b).…”

Deteccción de diferncias morfométricas de la trucha de nieve, Schizothorax curvifrons (Cypriniformes: Cyprinidae) en Kashmir Himalaya usando una red truss

“…It is a central theme in fisheries science and management (Cadrin, Friedland, & Waldman, 2004;Mir, Sarkar, Dwivedi, Gusain, & Jena, 2013a). Stock identification can be viewed as a prerequisite for any fishery analysis, just as population structure is considered a basic element of conservation biology (Thorpe et al, 1995).…”

Edad y crecimiento de la carpa mayor de la India <i>Labeo rohita</i> (Cypriniformes: Cyprinidae) de los ríos tropicales de la cuenca Ganga, India

“…Studies of morphologic variation among populations still have an important role to play in stock identification, despite the advent of biochemical and molecular genetic techniques, which accumulate neutral genetic differences between groups (Mir, Sarkar, Dwivedi, Gusain & Jena, 2013). Studies on age and growth, maturity of commercially important fishes, provide baseline information that typically assists with the initial recognition and delineation of geographic regions that are representative of individual stocks (Pawson & Jennings, 1996) and is an almost essential prerequisite for successful stock identification (Griffiths, 1997).…”